I Gunther Eysenbach %V 11% N 2% P 15% T一种新型综合在线治疗抑郁症的有效性(Deprexis):随机对照试验%A Meyer,Björn %A Berger,Thomas %A Caspar,Franz %A Beevers,Christopher G %A Andersson,Gerhard %A Weiss,Mario %+心身医学和心理治疗系,汉堡大学医学中心,Martinistr. 52, Building O59, 20246 Hamburg,德国,+49 40 7410 52972,bj.meyer@uke.uni-hamburg.de %D 2009 %7 11.5.2009 %9原始论文%J J Med Internet Res %G英文%X背景:抑郁症伴随着巨大的痛苦和成本,许多患者得不到足够的护理,往往是因为治疗的可用性有限。基于网络的治疗可能在缩小需求和供应之间的差距方面发挥越来越重要的作用。我们开发了基于网络的综合项目Deprexis,它涵盖了诸如行为激活、认知重组、正念/接受练习和社交技能训练等治疗方法。目的:评价网络干预在随机对照试验中的效果。方法:通过德国的互联网抑郁症论坛招募了396名成年人,他们按照80:20加权随机顺序被随机分配到9周的即时项目访问(N = 320)或9周的延迟访问+常规治疗(N = 76)。在治疗前、治疗后和6个月的随访中,我们以抑郁(贝克抑郁量表)作为主要结局指标,以社会功能(工作和社会适应量表)作为次要结局指标。完成分析和意向治疗分析。结果:在396名参与者中,216名(55%)在9周后完成了测量。 Available case analyses revealed a significant reduction in depression severity (BDI), Cohen’s d = .64 (CI 95% = 0.33 - 0.94), and significant improvement in social functioning (WSA), Cohen’s d = .64, 95% (CI 95% = 0.33 - 0.95). These improvements were maintained at 6-month follow-up. Intention-to-treat analyses confirmed significant effects on depression and social functioning improvements (BDI: Cohen’s d = .30, CI 95% = 0.05 - 0.55; WSA: Cohen’s d = .36, CI 95% = 0.10 - 0.61). Moreover, a much higher percentage of patients in the intervention group experienced a significant reduction of depression symptoms (BDI: odds ratio [OR] = 6.8, CI 95% = 2.90 - 18.19) and recovered more often (OR = 17.3, 95% CI 2.3 - 130). More than 80% of the users felt subjectively that the program had been helpful. Conclusions: This integrative, Web-based intervention was effective in reducing symptoms of depression and in improving social functioning. Findings suggest that the program could serve as an adjunctive or stand-alone treatment tool for patients suffering from symptoms of depression. Trial Registration: International Standard Randomized Controlled Trial Number (ISRCTN): 64953693; http://www.controlled-trials.com/ISRCTN64953693/64953693 (Archived by WebCite at http://www.webcitation.org/5ggzvTJPD) %M 19632969 %R 10.2196/jmir.1151 %U //www.mybigtv.com/2009/2/e15/ %U https://doi.org/10.2196/jmir.1151 %U http://www.ncbi.nlm.nih.gov/pubmed/19632969
Baidu
map